"Information about Zabbix monitoring software" matching MCP servers:

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

Connects AI agents to live observability stacks including Sentry, GitHub, Vercel, Better Stack, and Cloudflare, enabling end-to-end incident investigation, deployment correlation, root cause analysis, and regression triage.

Facilitates software development planning through interactive sessions that break down projects into manageable tasks with complexity scoring, code examples, and implementation plan management.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Enables converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

A Windows-local MCP server that connects natural-language engineering tasks to COMSOL, Autodesk Fusion, and LabVIEW through their official software interfaces. It lets users submit, track, and verify parametric simulation, CAD modeling, and measurement jobs as configurable tools.

Provides software development planning tools to help users create implementation plans and manage todo items.

Enables visual drag-and-drop editing of Mermaid diagrams through Claude, allowing iterative refinement of software architecture designs.

Uptime monitoring your AI agent can set up: create HTTP, SSL, ping, TCP and DNS monitors checked from multiple regions, run checks on demand, read and acknowledge incidents, manage cron heartbeats, maintenance windows and status page updates.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.

Enables AI agents to automate local software management workflows including installation, uninstallation, updates, and environment recommendations. It provides a standardized, non-interactive interface for managing system applications and tracking software versions safely.

Enables reasoning agents to turn PRDs into production-ready applications by discovering and reusing existing features, UI components, database models, and templates, then planning, scaffolding, validating, and preparing Git changes for review.

Enables AI agents to invoke registry-governed, fail-closed tools such as requesting child tasks in other domains, reporting results, querying a domain's context and contracts, and submitting or approving plans. All work is gated on real evidence (analysis, independent review, actual test runs), so a task can never be marked done without proof.

Enables agents to govern evolving software by measuring trajectory, drift, invariants, and incidents, and by forking and measuring alternative futures before adoption.

Dynamically exposes over 100 Jira Software Cloud REST API operations as fully typed tools for LLMs to interact with, supporting SSE and Stdio transports.

Enables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.

Declarative MCP runtime over IDF artifacts. Tool descriptions carry invariants, lifecycle, irreversibility, and role scopes.

Renders Mermaid diagram markup to PNG images using Puppeteer/Chromium. Enables AI-generated diagrams to be previewed inline and saved to disk.

Enables agents to turn a local code project into Chinese software copyright (R11) application materials: scanning candidate files, estimating page layout, and generating a 60-page source-code PDF plus application form fields, extraction lists, desensitization, and validation reports. Also provides field and environment checks and explains the formatting rules behind each output.

MCP server that reads Spark profiler files to give accurate Minecraft server tuning advice, parsing binary protobuf directly and diagnosing TPS, MSPT, GC, heap, and call-tree issues.

MCP server for Coalesce that manages nodes, pipelines, environments, jobs, and runs, and enables project validation, DDL/DML preview, deployment planning, and cloud environment application.

Enables AI assistants to incrementally build Laravel and Vue.js applications by creating file structures, methods, and code through natural conversation.

Lets coding agents like Claude Code, Cursor, and Codex call MONA Pay directly while developing, so they can create VietQR codes and checkout links, look up incoming transactions, link bank accounts via OTP, and configure or test webhooks (plus email and Zalo notifications) without leaving the editor. It also verifies HMAC-SHA256 webhook signatures offline and generates ready-to-use webhook handler snippets and sandbox transactions for end-to-end payment testing.

A local MCP reasoning gate that enables structured engineering thought through step-by-step reasoning, branching, merging, validation, and quality metrics without calling external LLM APIs.

A Python-based Model Context Protocol server that provides 87 tools for comprehensive interaction with the GitHub API. It enables AI agents to manage repositories, issues, pull requests, workflows, and projects through automated commands.

MCP server orchestrating API-first cross-review between Claude, ChatGPT Codex, Gemini, DeepSeek, Grok, and Perplexity with unanimous convergence gates.

Connects MCP clients to live EasyEDA Pro projects, enabling schematic and PCB inspection and editing through natural language.